FVC 2006
The FVC (Fingerprint Verification Competition) is the world’s largest competition for fingerprint verification algorithms. It is organized every two years by the University of Bologna (Italy), the State University of San Jose (EUA), State University of Michigan (EUA) and Universidad Autónoma de Madrid (Spain). The last FVC took place at fall of 2006 with seventy algorithms submitted by fifty three industry and academic participants. FVC applies algorithms over four databases of fingerprint images from multiple sources and computes a set of biometrics parameters describing its accuracy and performance behavior. Each of four image database has diverse quality and characteristics depending of the source sensor type. The FVC 2006 databases were obtained from the following sources:
- Database 1: Electric field sensor.
- Database 2: Optical sensor.
- Database 3: Thermal sweeping sensor.
- Database 4: Artificial images from SFinGe v 3.0 software.
The most important metric for fingerprint algorithm evaluation is the Equal Error Rate (EER). It estimates the probability of the algorithm to make a mistake when decides if two fingerprints images belong to the same finger, i.e., the verification error rate. The accuracy of a fingerprint algorithm is very sensitive to the sensor because the diversity of properties of the source images. Therefore, an algorithm can have an excellent EER for a sensor and work very poorly with another.
The main FVC evaluation metric is the Average Equal Error Rate (AvgEER) that is computed from the four databases. That value represents a mean verification error rate when considering the databases all together. Therefore, the AvgERR is a metric of robustness and stability of the algorithm when applied on different sensors, i.e., it shows the capacity of the algorithm for adapting to differences on images and to process the most widely sources of fingerprint images. The Griaule fingerprint recognition algorithms (P066) get the first position of the average ERR in FVC 2006.
Average EER on FVC 2006 (top ten algorithms)
For more info about FVC2006, visit our FVC FAQ.
Read also our press release about FVC2006 here.
FpVTE 2003
Griaule Fingerprint Recognition technology achieved outstanding performance in the NIST FpVTE 2003 Large Scale Test, with 1.044 billion fingerprint comparisons.
Quoting the FpVTE NIST report, (Appendix C - System-Specific Results), "...Griaule is generally about as accurate as Identix and consistently more accurate than Biolink".
FpVTE 2003 is the most comprehensive evaluation of fingerprint matching systems ever carried out. It was conducted by the National Institute of Standards & Technology (NIST) at its Gaithersburg, MD, facilities, using operational fingerprint data from U.S. and State Government sources.
Griaule’s tests during the FpVTE 2003 were performed on a 20-processor cluster. We are capable of delivering cluster-based AFIS solutions as big as you can imagine. Contact us for more information.
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FBI Certified
Griaule's WSQ algorithms have been certified by Federal Bureau of Investigation (FBI). Click the link to see the certificates.